{"id":"https://openalex.org/W2292590328","doi":"https://doi.org/10.1109/icsipa.2015.7412228","title":"Efficient morphological-based edge detection algorithm for computed tomography cardiac images","display_name":"Efficient morphological-based edge detection algorithm for computed tomography cardiac images","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2292590328","doi":"https://doi.org/10.1109/icsipa.2015.7412228","mag":"2292590328"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2015.7412228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2015.7412228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037708685","display_name":"Thion Ming Chieng","orcid":"https://orcid.org/0000-0001-5281-9112"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Thion Ming Chieng","raw_affiliation_strings":["IJN-UTM Cardiovascular Engineering Centre Universiti Teknologi Malaysia Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"IJN-UTM Cardiovascular Engineering Centre Universiti Teknologi Malaysia Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028494999","display_name":"Zaid Omar","orcid":"https://orcid.org/0000-0003-1032-7835"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Zaid Omar","raw_affiliation_strings":["IJN-UTM Cardiovascular Engineering Centre Universiti Teknologi Malaysia Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"IJN-UTM Cardiovascular Engineering Centre Universiti Teknologi Malaysia Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108609604","display_name":"Suhaini Kadiman","orcid":"https://orcid.org/0000-0002-3278-2196"},"institutions":[{"id":"https://openalex.org/I4210137597","display_name":"National Heart Institute","ror":"https://ror.org/047z4t272","country_code":"MY","type":"facility","lineage":["https://openalex.org/I4210137597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Suhaini Kadiman","raw_affiliation_strings":["IJN-UTM Cardiovascular Engineering Centre National Heart Institute Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"IJN-UTM Cardiovascular Engineering Centre National Heart Institute Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4210137597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037708685"],"corresponding_institution_ids":["https://openalex.org/I4576418"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.1532947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"423","last_page":"428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.684666633605957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6685848832130432},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6596980690956116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583267450332642},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6388647556304932},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.604475736618042},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5520680546760559},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5476618409156799},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5449326634407043},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.48122525215148926},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.44011861085891724},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4240933358669281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3981817960739136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3795378506183624}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.684666633605957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685848832130432},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6596980690956116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583267450332642},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6388647556304932},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.604475736618042},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5520680546760559},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5476618409156799},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5449326634407043},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.48122525215148926},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.44011861085891724},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4240933358669281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3981817960739136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3795378506183624}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa.2015.7412228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2015.7412228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5299999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323300","display_name":"Universiti Teknologi Malaysia","ror":"https://ror.org/026w31v75"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W19902361","https://openalex.org/W784809479","https://openalex.org/W1593939129","https://openalex.org/W1971969383","https://openalex.org/W1978522334","https://openalex.org/W1979124825","https://openalex.org/W2013377450","https://openalex.org/W2115414021","https://openalex.org/W2123385460","https://openalex.org/W2134975348","https://openalex.org/W2145023731","https://openalex.org/W2164741953","https://openalex.org/W2185039875","https://openalex.org/W2279671779","https://openalex.org/W2404791668","https://openalex.org/W2534609803","https://openalex.org/W2673969421","https://openalex.org/W4230982142","https://openalex.org/W4285719527","https://openalex.org/W6622495244","https://openalex.org/W6644812090","https://openalex.org/W6686454872","https://openalex.org/W6750349569"],"related_works":["https://openalex.org/W2348086063","https://openalex.org/W2073518521","https://openalex.org/W2613108344","https://openalex.org/W2365294123","https://openalex.org/W2109972144","https://openalex.org/W2103384355","https://openalex.org/W2370741721","https://openalex.org/W2142724665","https://openalex.org/W2347933260","https://openalex.org/W2539066280"],"abstract_inverted_index":{"Medical":[0],"imaging":[1],"has":[2],"been":[3],"extensively":[4],"used":[5],"for":[6,46,96],"disease":[7],"monitoring,":[8],"treatment":[9],"planning,":[10],"diagnosis":[11],"and":[12,31,37,60,92,123,147,151,157],"computer":[13],"aided":[14],"surgery.":[15],"Often,":[16],"the":[17,47,52,75,104,125,128],"acquired":[18],"images":[19,102],"are":[20,41,119],"raw":[21],"in":[22,44,74,149],"nature,":[23],"thus":[24],"making":[25],"them":[26],"prone":[27],"to":[28,50,70,121],"being":[29],"complex":[30,158],"noisy.":[32],"A":[33],"series":[34],"of":[35,98,103,127],"preprocessing":[36],"information":[38,49],"extraction":[39],"steps":[40],"therefore":[42],"necessary":[43],"order":[45],"relevant":[48],"reach":[51],"medical":[53,76,159],"practitioner.":[54],"To":[55],"this":[56,81],"end,":[57],"image":[58,77,90,130],"denoising":[59,91,150],"edge":[61,93,109],"detection":[62,94,110],"play":[63],"a":[64,68],"vital":[65],"role":[66],"as":[67],"precursor":[69],"more":[71],"advanced":[72],"techniques":[73],"processing":[78],"field.":[79],"In":[80],"paper":[82],"we":[83],"have":[84],"proposed":[85],"an":[86],"innovative":[87],"mathematical":[88],"morphology-based":[89],"method,":[95],"pre-processing":[97],"computed":[99],"tomography":[100],"(CT)":[101],"human":[105],"heart.":[106],"The":[107,140],"morphological":[108],"algorithm":[111],"together":[112],"with":[113],"six":[114],"different":[115],"shaped":[116],"structuring":[117],"elements":[118],"implemented":[120],"preserve":[122],"detect":[124],"edges":[126,154],"CT":[129],"while":[131],"effectively":[132],"suppressing":[133],"noise,":[134],"all":[135],"at":[136],"low":[137],"computational":[138],"cost.":[139],"experimental":[141],"results":[142],"affirm":[143],"our":[144],"approach's":[145],"efficiency":[146],"capability":[148],"detecting":[152],"salient":[153],"from":[155],"corrupted":[156],"images.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
